/**
 * Copyright 2019-2020 Huawei Technologies Co., Ltd
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

#include <stdio.h>
#include <map>
#include <memory>
#include "gtest/gtest.h"
#define protected public
#define private public
#include "common/graph_comm.h"
#include "common/pass_manager.h"
#include "common/util/op_info_util.h"
#include "common/configuration.h"
#include "graph/compute_graph.h"
#include "graph/debug/ge_attr_define.h"
#include "graph/ge_tensor.h"
#include "graph/op_desc.h"
#include "graph/op_kernel_bin.h"
#include "graph/utils/attr_utils.h"
#include "graph/utils/graph_utils.h"
#include "graph/utils/op_desc_utils.h"
#include "graph/utils/tensor_utils.h"
#include "graph_optimizer/ub_fusion/buffer_fusion.h"
#include "graph_optimizer/ub_fusion/tbe_pass/tbe_eltwise_fusion_pass.h"
#include "graph_optimizer/ub_fusion/tbe_pass/tbe_multi_output_fusion_pass.h"
#include "graph_optimizer/ub_fusion/tbe_pass/tbe_reduce_elemwise_fusion_pass.h"
#include "graph_optimizer/ub_fusion/tbe_pass/tbe_segment_elemwise_fusion_pass.h"
#include "graph_optimizer/ub_fusion/tbe_pass/tbe_conv_dequant_quant_pass.h"
#include "graph_optimizer/ub_fusion/tbe_pass/tbe_conv_dequant_pass.h"

#undef protected
#undef private
using namespace std;
using namespace domi;
using namespace fe;
using namespace ge;

class UB_FUSION_ST_DCONV_ELEMWISE : public testing::Test {
 public:
  //using AttrDefMap = ::google::protobuf::Map<::std::string, AttrDef>;

 protected:
  static void SetUpTestCase() { std::cout << "UB fusion SetUp" << std::endl; }
  static void TearDownTestCase() { std::cout << "UB fusion TearDown" << std::endl; }


  virtual void SetUp() {
  }

  virtual void TearDown() {}
  void SetPattern(ge::OpDescPtr opdef, string optype) {
    auto key_pattern = opdef->GetName() + "_pattern";
    ge::AttrUtils::SetStr(opdef, key_pattern, optype);
  }

  void SetTvmType(ge::OpDescPtr opdef) { 
    ge::AttrUtils::SetInt(opdef, ge::ATTR_NAME_IMPLY_TYPE, static_cast<int64_t>(domi::ImplyType::TVM)); }

/************************
 *
 *          x    filter
 *          |      |
 *            dconv
 *              |
 *  deq_scale一elemwise
 *                |       
 *  deq_scale1一elemwise
 *             |       |
 *           square   square
 *************************/
  void BuildGraph(ComputeGraphPtr graph, int32_t reluflag) {
    OpDescPtr data = std::make_shared<OpDesc>("DATA0", fe::DATA);
    OpDescPtr data1 = std::make_shared<OpDesc>("DATA1", fe::DATA);
    OpDescPtr data2 = std::make_shared<OpDesc>("DATA2", fe::DATA);
    OpDescPtr data3 = std::make_shared<OpDesc>("DATA3", fe::DATA);
    OpDescPtr conv = std::make_shared<OpDesc>("conv", "Convolution");
    OpDescPtr add = std::make_shared<OpDesc>("add", "AddN");
    OpDescPtr add1 = std::make_shared<OpDesc>("add1", "ReluGradV2");
    OpDescPtr square = std::make_shared<OpDesc>("square", "Square");
    OpDescPtr square1 = std::make_shared<OpDesc>("square1", "Square");
    SetPattern(conv, "Conv2d_backprop_input");
    SetPattern(add, "ElemWise");
    SetPattern(add1, "ElemWise");
    SetPattern(square, "Square");
    SetPattern(square1, "Square");
    SetTvmType(conv);
    SetTvmType(add);
    SetTvmType(add1);
    SetTvmType(square);
    SetTvmType(square1);
    // add descriptor
    vector<int64_t> dim(4, 4);
    GeShape shape(dim);
    GeTensorDesc out_desc(shape);
    data->AddOutputDesc(out_desc);
    data1->AddOutputDesc(out_desc);
    data2->AddOutputDesc(out_desc);
    data3->AddOutputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddOutputDesc(out_desc);
    add->AddInputDesc(out_desc);
    add->AddInputDesc(out_desc);
    add->AddOutputDesc(out_desc);
    add1->AddInputDesc(out_desc);
    add1->AddInputDesc(out_desc);
    add1->AddOutputDesc(out_desc);
    add1->AddOutputDesc(out_desc);
    square->AddInputDesc(out_desc);
    square1->AddInputDesc(out_desc);
    AttrUtils::SetInt(conv, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    std::vector<int64_t> params = {0, 0, 0, 0, 0, 1, 0, 1};
    AttrUtils::SetListInt(conv, "ub_atomic_params", params);
    conv->SetWorkspaceBytes({0});
    AttrUtils::SetInt(add, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(add1, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(square, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(square1, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    NodePtr data_node = graph->AddNode(data);
    NodePtr data1_node = graph->AddNode(data1);
    NodePtr data2_node = graph->AddNode(data2);
    NodePtr data3_node = graph->AddNode(data3);
    NodePtr conv_node = graph->AddNode(conv);
    NodePtr add_node = graph->AddNode(add);
    NodePtr add1_node = graph->AddNode(add1);
    NodePtr square_node = graph->AddNode(square);
    NodePtr square1_node = graph->AddNode(square1);
    const char tbe_bin[] = "tbe_bin";
    vector<char> buffer(tbe_bin, tbe_bin+strlen(tbe_bin));
    ge::OpKernelBinPtr tbe_kernel_ptr = std::make_shared<ge::OpKernelBin>(
        conv_node->GetName(), std::move(buffer));
    conv_node->GetOpDesc()->SetExtAttr(
        OP_EXTATTR_NAME_TBE_KERNEL, tbe_kernel_ptr);
    GraphUtils::AddEdge(data_node->GetOutDataAnchor(0),
        conv_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(data1_node->GetOutDataAnchor(0),
        conv_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(conv_node->GetOutDataAnchor(0),
                        add_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(data2_node->GetOutDataAnchor(0),
                        add_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(data3_node->GetOutDataAnchor(0),
                        add1_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(add_node->GetOutDataAnchor(0),
                        add1_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(add1_node->GetOutDataAnchor(0),
                        square_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(add1_node->GetOutDataAnchor(0),
                        square1_node->GetInDataAnchor(0));
  }

/************************
 *
 *          x    filter
 *          |      |
 *            dconv一一一bias
 *              |
 *  deq_scale一elemwise1
 *                |       
 *  deq_scale1一elemwise2一square
 *************************/
  void BuildGraph1(ComputeGraphPtr graph, int32_t reluflag) {
    OpDescPtr data = std::make_shared<OpDesc>("DATA0", fe::DATA);
    OpDescPtr data1 = std::make_shared<OpDesc>("DATA1", fe::DATA);
    OpDescPtr data2 = std::make_shared<OpDesc>("DATA2", fe::DATA);
    OpDescPtr data3 = std::make_shared<OpDesc>("DATA3", fe::DATA);
    OpDescPtr data4 = std::make_shared<OpDesc>("DATA4", fe::DATA);
    OpDescPtr conv = std::make_shared<OpDesc>("conv", "Convolution");
    OpDescPtr add = std::make_shared<OpDesc>("add", "ReluGradV2");
    OpDescPtr add1 = std::make_shared<OpDesc>("add1", "ReluGradV2");
    OpDescPtr square = std::make_shared<OpDesc>("square", "Square");
    OpDescPtr square1 = std::make_shared<OpDesc>("square1", "Square");
    SetPattern(conv, "Conv2d_backprop_input");
    SetPattern(add, "ElemWise");
    SetPattern(add1, "ElemWise");
    SetPattern(square, "Square");
    SetPattern(square1, "Square");
    SetTvmType(conv);
    SetTvmType(add);
    SetTvmType(add1);
    SetTvmType(square);
    SetTvmType(square1);
    // add descriptor
    vector<int64_t> dim(4, 4);
    GeShape shape(dim);
    GeTensorDesc out_desc(shape);
    data->AddOutputDesc(out_desc);
    data1->AddOutputDesc(out_desc);
    data2->AddOutputDesc(out_desc);
    data3->AddOutputDesc(out_desc);
    data4->AddOutputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddOutputDesc(out_desc);
    add->AddInputDesc(out_desc);
    add->AddInputDesc(out_desc);
    add->AddOutputDesc(out_desc);
    add1->AddInputDesc(out_desc);
    add1->AddInputDesc(out_desc);
    add1->AddInputDesc(out_desc);
    add1->AddOutputDesc(out_desc);
    square->AddOutputDesc(out_desc);
    square1->AddInputDesc(out_desc);
    AttrUtils::SetInt(conv, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    std::vector<int64_t> params = {0, 0, 0, 0, 0, 1, 0, 1};
    AttrUtils::SetListInt(conv, "ub_atomic_params", params);
    conv->SetWorkspaceBytes({0});
    AttrUtils::SetInt(add, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(add1, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(square, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(square1, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    NodePtr data_node = graph->AddNode(data);
    NodePtr data1_node = graph->AddNode(data1);
    NodePtr data2_node = graph->AddNode(data2);
    NodePtr data3_node = graph->AddNode(data3);
    NodePtr data4_node = graph->AddNode(data4);
    NodePtr conv_node = graph->AddNode(conv);
    NodePtr add_node = graph->AddNode(add);
    NodePtr add1_node = graph->AddNode(add1);
    NodePtr square_node = graph->AddNode(square);
    NodePtr square1_node = graph->AddNode(square1);
    const char tbe_bin[] = "tbe_bin";
    vector<char> buffer(tbe_bin, tbe_bin+strlen(tbe_bin));
    ge::OpKernelBinPtr tbe_kernel_ptr = std::make_shared<ge::OpKernelBin>(
            conv_node->GetName(), std::move(buffer));
    conv_node->GetOpDesc()->SetExtAttr(
            OP_EXTATTR_NAME_TBE_KERNEL, tbe_kernel_ptr);
    GraphUtils::AddEdge(data_node->GetOutDataAnchor(0),
                        conv_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(data1_node->GetOutDataAnchor(0),
                        conv_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(data4_node->GetOutDataAnchor(0),
                        conv_node->GetInDataAnchor(2));
    GraphUtils::AddEdge(conv_node->GetOutDataAnchor(0),
                        add_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(data2_node->GetOutDataAnchor(0),
                        add_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(data3_node->GetOutDataAnchor(0),
                        add1_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(add_node->GetOutDataAnchor(0),
                        add1_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(square_node->GetOutDataAnchor(0),
                        add1_node->GetInDataAnchor(2));
  }

/************************
 *
 *            x    filter
 *            |      |
 *              dconv
 *    square \    |
 *  deq_scale一elemwise1
 *                |       
 *  deq_scale1一elemwise2
 *
 *************************/
  void BuildGraph2(ComputeGraphPtr graph, int32_t reluflag) {
    OpDescPtr data = std::make_shared<OpDesc>("DATA0", fe::DATA);
    OpDescPtr data1 = std::make_shared<OpDesc>("DATA1", fe::DATA);
    OpDescPtr data2 = std::make_shared<OpDesc>("DATA2", fe::DATA);
    OpDescPtr data3 = std::make_shared<OpDesc>("DATA3", fe::DATA);
    OpDescPtr data4 = std::make_shared<OpDesc>("DATA4", fe::DATA);
    OpDescPtr conv = std::make_shared<OpDesc>("conv", "Convolution");
    OpDescPtr add = std::make_shared<OpDesc>("add", "AddN");
    OpDescPtr add1 = std::make_shared<OpDesc>("add1", "ReluGradV2");
    OpDescPtr square = std::make_shared<OpDesc>("square", "Square");
    OpDescPtr square1 = std::make_shared<OpDesc>("square1", "Square");
    SetPattern(conv, "Conv2d_backprop_input");
    SetPattern(add, "ElemWise");
    SetPattern(add1, "ElemWise");
    SetPattern(square, "Square");
    SetPattern(square1, "Square");
    SetTvmType(conv);
    SetTvmType(add);
    SetTvmType(add1);
    SetTvmType(square);
    SetTvmType(square1);
    // add descriptor
    vector<int64_t> dim(4, 4);
    GeShape shape(dim);
    GeTensorDesc out_desc(shape);
    data->AddOutputDesc(out_desc);
    data1->AddOutputDesc(out_desc);
    data2->AddOutputDesc(out_desc);
    data3->AddOutputDesc(out_desc);
    data4->AddOutputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddOutputDesc(out_desc);
    add->AddInputDesc(out_desc);
    add->AddInputDesc(out_desc);
    add->AddInputDesc(out_desc);
    add->AddOutputDesc(out_desc);
    add1->AddInputDesc(out_desc);
    add1->AddInputDesc(out_desc);
    add1->AddOutputDesc(out_desc);
    square->AddInputDesc(out_desc);
    square1->AddInputDesc(out_desc);
    AttrUtils::SetInt(conv, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    std::vector<int64_t> params = {0, 0, 0, 0, 0, 1, 0, 1};
    AttrUtils::SetListInt(conv, "ub_atomic_params", params);
    conv->SetWorkspaceBytes({0});
    AttrUtils::SetInt(add, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(add1, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(square, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(square1, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    NodePtr data_node = graph->AddNode(data);
    NodePtr data1_node = graph->AddNode(data1);
    NodePtr data2_node = graph->AddNode(data2);
    NodePtr data3_node = graph->AddNode(data3);
    NodePtr data4_node = graph->AddNode(data4);
    NodePtr conv_node = graph->AddNode(conv);
    NodePtr add_node = graph->AddNode(add);
    NodePtr add1_node = graph->AddNode(add1);
    NodePtr square_node = graph->AddNode(square);
    NodePtr square1_node = graph->AddNode(square1);
    const char tbe_bin[] = "tbe_bin";
    vector<char> buffer(tbe_bin, tbe_bin+strlen(tbe_bin));
    ge::OpKernelBinPtr tbe_kernel_ptr = std::make_shared<ge::OpKernelBin>(
            conv_node->GetName(), std::move(buffer));
    conv_node->GetOpDesc()->SetExtAttr(
            OP_EXTATTR_NAME_TBE_KERNEL, tbe_kernel_ptr);
    GraphUtils::AddEdge(data_node->GetOutDataAnchor(0),
                        conv_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(data1_node->GetOutDataAnchor(0),
                        conv_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(conv_node->GetOutDataAnchor(0),
                        add_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(data2_node->GetOutDataAnchor(0),
                        add_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(data4_node->GetOutDataAnchor(0),
                        add_node->GetInDataAnchor(2));
    GraphUtils::AddEdge(data3_node->GetOutDataAnchor(0),
                        add1_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(add_node->GetOutDataAnchor(0),
                        add1_node->GetInDataAnchor(1));
  }

  /************************
 *
 *          x    filter
 *          |      |
 *            dconv一一一bias
 *              |
 *  deq_scale一elemwise1
 *              |
 *             elemwise2
 *************************/
  void BuildGraph3(ComputeGraphPtr graph, int32_t reluflag) {
    OpDescPtr data = std::make_shared<OpDesc>("DATA0", fe::DATA);
    OpDescPtr data1 = std::make_shared<OpDesc>("DATA1", fe::DATA);
    OpDescPtr data2 = std::make_shared<OpDesc>("DATA2", fe::DATA);
    OpDescPtr data3 = std::make_shared<OpDesc>("DATA3", fe::DATA);
    OpDescPtr conv = std::make_shared<OpDesc>("conv", "Convolution");
    OpDescPtr add = std::make_shared<OpDesc>("add", "ReluGradV2");
    OpDescPtr add1 = std::make_shared<OpDesc>("add1", "ReluGradV2");
    OpDescPtr square = std::make_shared<OpDesc>("square", "Square");
    OpDescPtr square1 = std::make_shared<OpDesc>("square1", "Square");
    SetPattern(conv, "Conv2d_backprop_input");
    SetPattern(add, "ElemWise");
    SetPattern(add1, "ElemWise");
    SetPattern(square, "Square");
    SetPattern(square1, "Square");
    SetTvmType(conv);
    SetTvmType(add);
    SetTvmType(add1);
    SetTvmType(square);
    SetTvmType(square1);
    // add descriptor
    vector<int64_t> dim(4, 4);
    GeShape shape(dim);
    GeTensorDesc out_desc(shape);
    data->AddOutputDesc(out_desc);
    data1->AddOutputDesc(out_desc);
    data2->AddOutputDesc(out_desc);
    data3->AddOutputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddOutputDesc(out_desc);
    add->AddInputDesc(out_desc);
    add->AddInputDesc(out_desc);
    add->AddOutputDesc(out_desc);
    add1->AddInputDesc(out_desc);
    add1->AddOutputDesc(out_desc);
    AttrUtils::SetInt(conv, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    std::vector<int64_t> params = {0, 0, 0, 0, 0, 1, 0, 1};
    AttrUtils::SetListInt(conv, "ub_atomic_params", params);
    conv->SetWorkspaceBytes({0});
    AttrUtils::SetInt(add, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(add1, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(square, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(square1, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    NodePtr data_node = graph->AddNode(data);
    NodePtr data1_node = graph->AddNode(data1);
    NodePtr data2_node = graph->AddNode(data2);
    NodePtr data3_node = graph->AddNode(data3);
    NodePtr conv_node = graph->AddNode(conv);
    NodePtr add_node = graph->AddNode(add);
    NodePtr add1_node = graph->AddNode(add1);
    NodePtr square_node = graph->AddNode(square);
    NodePtr square1_node = graph->AddNode(square1);
    const char tbe_bin[] = "tbe_bin";
    vector<char> buffer(tbe_bin, tbe_bin+strlen(tbe_bin));
    ge::OpKernelBinPtr tbe_kernel_ptr = std::make_shared<ge::OpKernelBin>(
            conv_node->GetName(), std::move(buffer));
    conv_node->GetOpDesc()->SetExtAttr(
            OP_EXTATTR_NAME_TBE_KERNEL, tbe_kernel_ptr);
    GraphUtils::AddEdge(data_node->GetOutDataAnchor(0),
                        conv_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(data1_node->GetOutDataAnchor(0),
                        conv_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(data3_node->GetOutDataAnchor(0),
                        conv_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(conv_node->GetOutDataAnchor(0),
                        add_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(data2_node->GetOutDataAnchor(0),
                        add_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(add_node->GetOutDataAnchor(0),
                        add1_node->GetInDataAnchor(0));
  }
  /************************
*
*            x    filter
*            |      |
*              dconv一一一bias
*                |
*    deq_scale一elemwise1
*               /     |
*       deq_scale1  elemwise2一data
*************************/
  void BuildGraph4(ComputeGraphPtr graph, int32_t reluflag) {
    OpDescPtr data = std::make_shared<OpDesc>("DATA0", fe::DATA);
    OpDescPtr data1 = std::make_shared<OpDesc>("DATA1", fe::DATA);
    OpDescPtr data2 = std::make_shared<OpDesc>("DATA2", fe::DATA);
    OpDescPtr data3 = std::make_shared<OpDesc>("DATA3", fe::DATA);
    OpDescPtr data4 = std::make_shared<OpDesc>("DATA4", fe::DATA);
    OpDescPtr data5 = std::make_shared<OpDesc>("DATA5", fe::DATA);
    OpDescPtr conv = std::make_shared<OpDesc>("conv", "Convolution");
    OpDescPtr add = std::make_shared<OpDesc>("add", "ReluGradV2");
    OpDescPtr add1 = std::make_shared<OpDesc>("add1", "ReluGradV2");
    OpDescPtr square = std::make_shared<OpDesc>("square", "Square");
    OpDescPtr square1 = std::make_shared<OpDesc>("square1", "Square");
    SetPattern(conv, "Conv2d_backprop_input");
    SetPattern(add, "ElemWise");
    SetPattern(add1, "ElemWise");
    SetPattern(square, "Square");
    SetPattern(square1, "Square");
    SetTvmType(conv);
    SetTvmType(add);
    SetTvmType(add1);
    SetTvmType(square);
    SetTvmType(square1);
    // add descriptor
    vector<int64_t> dim(4, 4);
    GeShape shape(dim);
    GeTensorDesc out_desc(shape);
    data->AddOutputDesc(out_desc);
    data1->AddOutputDesc(out_desc);
    data2->AddOutputDesc(out_desc);
    data3->AddOutputDesc(out_desc);
    data4->AddOutputDesc(out_desc);
    data5->AddOutputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddOutputDesc(out_desc);
    add->AddInputDesc(out_desc);
    add->AddInputDesc(out_desc);
    add->AddOutputDesc(out_desc);
    add->AddOutputDesc(out_desc);
    add1->AddInputDesc(out_desc);
    add1->AddInputDesc(out_desc);
    add1->AddOutputDesc(out_desc);
    add1->AddOutputDesc(out_desc);
    square->AddInputDesc(out_desc);
    square1->AddInputDesc(out_desc);
    AttrUtils::SetInt(conv, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    std::vector<int64_t> params = {0, 0, 0, 0, 0, 1, 0, 1};
    AttrUtils::SetListInt(conv, "ub_atomic_params", params);
    conv->SetWorkspaceBytes({0});
    AttrUtils::SetInt(add, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(add1, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(square, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(square1, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    NodePtr data_node = graph->AddNode(data);
    NodePtr data1_node = graph->AddNode(data1);
    NodePtr data2_node = graph->AddNode(data2);
    NodePtr data3_node = graph->AddNode(data3);
    NodePtr data4_node = graph->AddNode(data4);
    NodePtr data5_node = graph->AddNode(data5);
    NodePtr conv_node = graph->AddNode(conv);
    NodePtr add_node = graph->AddNode(add);
    NodePtr add1_node = graph->AddNode(add1);
    NodePtr square_node = graph->AddNode(square);
    NodePtr square1_node = graph->AddNode(square1);
    const char tbe_bin[] = "tbe_bin";
    vector<char> buffer(tbe_bin, tbe_bin+strlen(tbe_bin));
    ge::OpKernelBinPtr tbe_kernel_ptr = std::make_shared<ge::OpKernelBin>(
            conv_node->GetName(), std::move(buffer));
    conv_node->GetOpDesc()->SetExtAttr(
            OP_EXTATTR_NAME_TBE_KERNEL, tbe_kernel_ptr);
    GraphUtils::AddEdge(data_node->GetOutDataAnchor(0),
                        conv_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(data1_node->GetOutDataAnchor(0),
                        conv_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(data4_node->GetOutDataAnchor(0),
                        conv_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(conv_node->GetOutDataAnchor(0),
                        add_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(data2_node->GetOutDataAnchor(0),
                        add_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(data3_node->GetOutDataAnchor(0),
                        add1_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(add_node->GetOutDataAnchor(0),
                        add1_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(add_node->GetOutDataAnchor(1),
                        square_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(add1_node->GetOutDataAnchor(0),
                        square1_node->GetInDataAnchor(0));
  }
  /************************
 *
 *          x    filter
 *          |      |
 *            dconv
 *              |
 *  deq_scale一elemwise1
 *                |
 *  deq_scale1一elemwise2
 *                |
 *             elemwise3
 *                |
 *             elemwise4
 *************************/
  void BuildGraph5(ComputeGraphPtr graph, int32_t reluflag) {
    OpDescPtr data = std::make_shared<OpDesc>("DATA0", fe::DATA);
    OpDescPtr data1 = std::make_shared<OpDesc>("DATA1", fe::DATA);
    OpDescPtr data2 = std::make_shared<OpDesc>("DATA2", fe::DATA);
    OpDescPtr data3 = std::make_shared<OpDesc>("DATA3", fe::DATA);
    OpDescPtr conv = std::make_shared<OpDesc>("conv", "Convolution");
    OpDescPtr add = std::make_shared<OpDesc>("add", "AddN");
    OpDescPtr add1 = std::make_shared<OpDesc>("add1", "ReluGradV2");
    OpDescPtr square = std::make_shared<OpDesc>("square", "Square");
    OpDescPtr square1 = std::make_shared<OpDesc>("square1", "Square");
    SetPattern(conv, "Conv2d_backprop_input");
    SetPattern(add, "ElemWise");
    SetPattern(add1, "ElemWise");
    SetPattern(square, "ElemWise");
    SetPattern(square1, "ElemWise");
    SetTvmType(conv);
    SetTvmType(add);
    SetTvmType(add1);
    SetTvmType(square);
    SetTvmType(square1);
    // add descriptor
    vector<int64_t> dim(4, 4);
    GeShape shape(dim);
    GeTensorDesc out_desc(shape);
    data->AddOutputDesc(out_desc);
    data1->AddOutputDesc(out_desc);
    data2->AddOutputDesc(out_desc);
    data3->AddOutputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddOutputDesc(out_desc);
    add->AddInputDesc(out_desc);
    add->AddInputDesc(out_desc);
    add->AddOutputDesc(out_desc);
    add1->AddInputDesc(out_desc);
    add1->AddInputDesc(out_desc);
    add1->AddOutputDesc(out_desc);
    add1->AddOutputDesc(out_desc);
    square->AddInputDesc(out_desc);
    square->AddOutputDesc(out_desc);
    square1->AddInputDesc(out_desc);
    square1->AddOutputDesc(out_desc);
    AttrUtils::SetInt(conv, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    std::vector<int64_t> params = {0, 0, 0, 0, 0, 1, 0, 1};
    AttrUtils::SetListInt(conv, "ub_atomic_params", params);
    conv->SetWorkspaceBytes({0});
    AttrUtils::SetInt(add, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(add1, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(square, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(square1, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    NodePtr data_node = graph->AddNode(data);
    NodePtr data1_node = graph->AddNode(data1);
    NodePtr data2_node = graph->AddNode(data2);
    NodePtr data3_node = graph->AddNode(data3);
    NodePtr conv_node = graph->AddNode(conv);
    NodePtr add_node = graph->AddNode(add);
    NodePtr add1_node = graph->AddNode(add1);
    NodePtr square_node = graph->AddNode(square);
    NodePtr square1_node = graph->AddNode(square1);
    const char tbe_bin[] = "tbe_bin";
    vector<char> buffer(tbe_bin, tbe_bin+strlen(tbe_bin));
    ge::OpKernelBinPtr tbe_kernel_ptr = std::make_shared<ge::OpKernelBin>(
            conv_node->GetName(), std::move(buffer));
    conv_node->GetOpDesc()->SetExtAttr(
            OP_EXTATTR_NAME_TBE_KERNEL, tbe_kernel_ptr);
    GraphUtils::AddEdge(data_node->GetOutDataAnchor(0),
                        conv_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(data1_node->GetOutDataAnchor(0),
                        conv_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(conv_node->GetOutDataAnchor(0),
                        add_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(data2_node->GetOutDataAnchor(0),
                        add_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(data3_node->GetOutDataAnchor(0),
                        add1_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(add_node->GetOutDataAnchor(0),
                        add1_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(add1_node->GetOutDataAnchor(0),
                        square_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(square_node->GetOutDataAnchor(0),
                        square1_node->GetInDataAnchor(0));
  }
};

TEST_F(UB_FUSION_ST_DCONV_ELEMWISE, dx_elem_two_fusion_success) {
  ComputeGraphPtr graph_out = std::make_shared<ComputeGraph>("test");
  BuildGraph(graph_out, 1);
  graph_out->TopologicalSorting();
  graph_out->Dump();
  // BufferFusion(graph, graph_out);
  std::shared_ptr<GraphComm> graph_comm_ptr = std::make_shared<GraphComm>("engineName");
  graph_comm_ptr->Initialize();
  std::shared_ptr<ScopeAllocator> scope_allocator_ptr = std::make_shared<ScopeAllocator>();
  std::shared_ptr<FusionPassManager> fusion_pass_mgr_ptr = std::make_shared<FusionPassManager>();
  std::shared_ptr<FusionPriorityManager> fusion_priority_mgr_ptr =
          std::make_shared<FusionPriorityManager>("engineName", fusion_pass_mgr_ptr,nullptr);
  std::shared_ptr<BufferFusion> sub_graph_optimizer_ptr = 
    std::make_shared<BufferFusion>(graph_comm_ptr, scope_allocator_ptr, fusion_pass_mgr_ptr, fusion_priority_mgr_ptr);
  uint32_t id = 0;
  cerr << endl;
  cerr << "UB_FUSION_UT_DX_DRELU UB fusion before" << endl;
  for (auto &node : graph_out->GetDirectNode()) {
    cerr << "id:" << id << endl;
    uint32_t scope_id = 0;
    cerr << "name: " << node->GetName() << ", type:" << node->GetOpDesc()->GetType() << endl;
    if (AttrUtils::GetInt(node->GetOpDesc(), SCOPE_ID_ATTR, scope_id)) {
      cerr << "scope id : " << scope_id << endl;
    }
    id++;
  }
    sub_graph_optimizer_ptr->engine_name_ = fe::AI_CORE_NAME;
  // find sub-graphs that match UB fusion pattern
  sub_graph_optimizer_ptr->MatchFusionPatternFromGraph(*graph_out);
  // create fused Graph, and merge matched sub-graphs into fusion ops
  sub_graph_optimizer_ptr->BuildFusionGraph(*graph_out);
  id = 0;
  int find = 0;
  cerr << endl;
  cerr << "UB_FUSION_UT_DX_DRELU UB fusion result" << endl;
  for (auto &node : graph_out->GetDirectNode()) {
    cerr << "id:" << id << endl;
    uint32_t scope_id = 0;
    cerr << "name: " << node->GetName() << ", type:" << node->GetOpDesc()->GetType() << endl;
    if (node->GetOpDesc()->GetType() == "Convolution" &&
        node->GetName() == "convaddadd1" && graph_out->GetAllNodesSize() == 7) {
      cerr << "out1:" << node->GetOutDataAnchor(0)->GetFirstPeerAnchor()->GetOwnerNode()->GetType() << endl;
      cerr << "out2:" << node->GetOutDataAnchor(0)->GetPeerInDataAnchors().at(1)->GetOwnerNode()->GetType() << endl;
      cerr << "graph node size:" << graph_out->GetAllNodesSize() << endl;
      bool node_struct = false;
      node_struct = node->GetOutDataAnchor(0)->GetPeerInDataAnchors().at(0)->GetOwnerNode()->GetType() == "Square" &&
              node->GetOutDataAnchor(0)->GetPeerInDataAnchors().at(1)->GetOwnerNode()->GetType() == "Square";
      if (node_struct == true) {
        find = 1;
      }
    }
    if (AttrUtils::GetInt(node->GetOpDesc(), SCOPE_ID_ATTR, scope_id)) {
      cerr << "scope id : " << scope_id << endl;
    }
    id++;
  }
  EXPECT_EQ(find, 1);
}

TEST_F(UB_FUSION_ST_DCONV_ELEMWISE, dx_elem_fusion_success) {
  ComputeGraphPtr graph_out = std::make_shared<ComputeGraph>("test");
  BuildGraph1(graph_out, 1);
  graph_out->TopologicalSorting();
  graph_out->Dump();
  // BufferFusion(graph, graph_out);
  std::shared_ptr<GraphComm> graph_comm_ptr = std::make_shared<GraphComm>("engineName");
  graph_comm_ptr->Initialize();
  std::shared_ptr<ScopeAllocator> scope_allocator_ptr = std::make_shared<ScopeAllocator>();
  std::shared_ptr<FusionPassManager> fusion_pass_mgr_ptr = std::make_shared<FusionPassManager>();
  std::shared_ptr<FusionPriorityManager> fusion_priority_mgr_ptr =
          std::make_shared<FusionPriorityManager>("engineName", fusion_pass_mgr_ptr,nullptr);
  std::shared_ptr<BufferFusion> sub_graph_optimizer_ptr = 
    std::make_shared<BufferFusion>(graph_comm_ptr, scope_allocator_ptr, fusion_pass_mgr_ptr, fusion_priority_mgr_ptr);
  uint32_t id = 0;
  cerr << endl;
  cerr << "UB_FUSION_UT_DX_DRELU UB fusion before" << endl;
  for (auto &node : graph_out->GetDirectNode()) {
    cerr << "id:" << id << endl;
    uint32_t scope_id = 0;
    cerr << "name: " << node->GetName() << ", type:" << node->GetOpDesc()->GetType() << endl;
    if (AttrUtils::GetInt(node->GetOpDesc(), SCOPE_ID_ATTR, scope_id)) {
      cerr << "scope id : " << scope_id << endl;
    }
    id++;
  }
    sub_graph_optimizer_ptr->engine_name_ = fe::AI_CORE_NAME;
  // find sub-graphs that match UB fusion pattern
  sub_graph_optimizer_ptr->MatchFusionPatternFromGraph(*graph_out);
  // create fused Graph, and merge matched sub-graphs into fusion ops
  sub_graph_optimizer_ptr->BuildFusionGraph(*graph_out);
  id = 0;
  int find = 0;
  cerr << endl;
  cerr << "UB_FUSION_UT_DX_DRELU UB fusion result" << endl;
  for (auto &node : graph_out->GetDirectNode()) {
    cerr << "id:" << id << endl;
    uint32_t scope_id = 0;
    cerr << "name: " << node->GetName() << ", type:" << node->GetOpDesc()->GetType() << endl;
    if (node->GetOpDesc()->GetType() == "Convolution" &&
        node->GetName() == "convadd" && graph_out->GetAllNodesSize() == 9) {
      cerr << "out1:" << node->GetOutDataAnchor(0)->GetPeerInDataAnchors().at(0)->GetOwnerNode()->GetType() << endl;
      cerr << "conv in edge size:" << node->GetAllInDataAnchors().size() << endl;
      cerr << "graph node size:" << graph_out->GetAllNodesSize() << endl;
      bool node_struct = false;
      node_struct = node->GetOutDataAnchor(0)->GetPeerInDataAnchors().at(0)->GetOwnerNode()->GetType() == "ReluGradV2" &&
                   node->GetAllInDataAnchors().size() == 4;
      if (node_struct == true) {
        find = 1;
      }
    }
    if (AttrUtils::GetInt(node->GetOpDesc(), SCOPE_ID_ATTR, scope_id)) {
      cerr << "scope id : " << scope_id << endl;
    }
    id++;
  }
  EXPECT_EQ(find, 1);
}

TEST_F(UB_FUSION_ST_DCONV_ELEMWISE, dx_elem_fusion_fail) {
  ComputeGraphPtr graph_out = std::make_shared<ComputeGraph>("test");
  BuildGraph2(graph_out, 1);
  graph_out->TopologicalSorting();
  graph_out->Dump();
  // BufferFusion(graph, graph_out);
  std::shared_ptr<GraphComm> graph_comm_ptr = std::make_shared<GraphComm>("engineName");
  graph_comm_ptr->Initialize();
  std::shared_ptr<ScopeAllocator> scope_allocator_ptr = std::make_shared<ScopeAllocator>();
  std::shared_ptr<FusionPassManager> fusion_pass_mgr_ptr = std::make_shared<FusionPassManager>();
  std::shared_ptr<FusionPriorityManager> fusion_priority_mgr_ptr =
          std::make_shared<FusionPriorityManager>("engineName", fusion_pass_mgr_ptr,nullptr);
  std::shared_ptr<BufferFusion> sub_graph_optimizer_ptr = 
    std::make_shared<BufferFusion>(graph_comm_ptr, scope_allocator_ptr, fusion_pass_mgr_ptr, fusion_priority_mgr_ptr);
  uint32_t id = 0;
  cerr << endl;
  cerr << "UB_FUSION_UT_DX_DRELU UB fusion before" << endl;
  for (auto &node : graph_out->GetDirectNode()) {
    cerr << "id:" << id << endl;
    uint32_t scope_id = 0;
    cerr << "name: " << node->GetName() << ", type:" << node->GetOpDesc()->GetType() << endl;
    if (AttrUtils::GetInt(node->GetOpDesc(), SCOPE_ID_ATTR, scope_id)) {
      cerr << "scope id : " << scope_id << endl;
    }
    id++;
  }
    sub_graph_optimizer_ptr->engine_name_ = fe::AI_CORE_NAME;
  // find sub-graphs that match UB fusion pattern
  sub_graph_optimizer_ptr->MatchFusionPatternFromGraph(*graph_out);
  // create fused Graph, and merge matched sub-graphs into fusion ops
  sub_graph_optimizer_ptr->BuildFusionGraph(*graph_out);
  id = 0;
  int find = 0;
  cerr << endl;
  cerr << "UB_FUSION_UT_DX_DRELU UB fusion result" << endl;
  for (auto &node : graph_out->GetDirectNode()) {
    cerr << "id:" << id << endl;
    uint32_t scope_id = 0;
    cerr << "name: " << node->GetName() << ", type:" << node->GetOpDesc()->GetType() << endl;
    if (node->GetOpDesc()->GetType() == "Convolution" &&
        node->GetName() == "conv" && graph_out->GetAllNodesSize() == 10) {
      cerr << "graph node size:" << graph_out->GetAllNodesSize() << endl;
      cerr << "conv in edge size:" << node->GetAllInDataAnchors().size()
           << endl;
      bool node_struct = false;
      node_struct = node->GetAllOutDataAnchors().size() == 1 &&
                   node->GetAllInDataAnchors().size() == 2;
      if (node_struct == true) {
        find = 1;
      }
    }
    if (AttrUtils::GetInt(node->GetOpDesc(), SCOPE_ID_ATTR, scope_id)) {
      cerr << "scope id : " << scope_id << endl;
    }
    id++;
  }
  EXPECT_EQ(find, 1);
}

TEST_F(UB_FUSION_ST_DCONV_ELEMWISE  , dx_elem_fusion_success1) {
  ComputeGraphPtr graph_out = std::make_shared<ComputeGraph>("test");
  BuildGraph3(graph_out, 1);
  graph_out->TopologicalSorting();
  graph_out->Dump();
  // BufferFusion(graph, graph_out);
  std::shared_ptr<GraphComm> graph_comm_ptr = std::make_shared<GraphComm>("engineName");
  graph_comm_ptr->Initialize();
  std::shared_ptr<ScopeAllocator> scope_allocator_ptr = std::make_shared<ScopeAllocator>();
  std::shared_ptr<FusionPassManager> fusion_pass_mgr_ptr = std::make_shared<FusionPassManager>();
  std::shared_ptr<FusionPriorityManager> fusion_priority_mgr_ptr =
          std::make_shared<FusionPriorityManager>("engineName", fusion_pass_mgr_ptr,nullptr);
  std::shared_ptr<BufferFusion> sub_graph_optimizer_ptr = 
    std::make_shared<BufferFusion>(graph_comm_ptr, scope_allocator_ptr, fusion_pass_mgr_ptr, fusion_priority_mgr_ptr);
  uint32_t id = 0;
  cerr << endl;
  cerr << "UB_FUSION_UT_DX_DRELU UB fusion before" << endl;
  for (auto &node : graph_out->GetDirectNode()) {
    cerr << "id:" << id << endl;
    uint32_t scope_id = 0;
    cerr << "name: " << node->GetName() << ", type:" << node->GetOpDesc()->GetType() << endl;
    if (AttrUtils::GetInt(node->GetOpDesc(), SCOPE_ID_ATTR, scope_id)) {
      cerr << "scope id : " << scope_id << endl;
    }
    id++;
  }
  sub_graph_optimizer_ptr->engine_name_ = fe::AI_CORE_NAME;
  // find sub-graphs that match UB fusion pattern
  sub_graph_optimizer_ptr->MatchFusionPatternFromGraph(*graph_out);
  // create fused Graph, and merge matched sub-graphs into fusion ops
  sub_graph_optimizer_ptr->BuildFusionGraph(*graph_out);
  id = 0;
  int find = 0;
  cerr << endl;
  cerr << "UB_FUSION_UT_DX_DRELU UB fusion result" << endl;
  for (auto &node : graph_out->GetDirectNode()) {
    cerr << "id:" << id << endl;
    uint32_t scope_id = 0;
    cerr << "name: " << node->GetName() << ", type:" << node->GetOpDesc()->GetType() << endl;
    if (node->GetOpDesc()->GetType() == "Convolution" &&
        node->GetName() == "convadd" && graph_out->GetAllNodesSize() == 8) {
      cerr << "graph node size:" << graph_out->GetAllNodesSize() << endl;
      cerr << "conv in edge size:" << node->GetInAllNodes().size() << endl;
      cerr << "conv out node:" << node->GetOutAnchor(0)->GetFirstPeerAnchor()->GetOwnerNode()->GetType() << endl;
      bool node_struct = false;
      node_struct = node->GetAllOutDataAnchors().size() == 1 &&
                   node->GetInAllNodes().size() == 3 &&
                   node->GetOutAnchor(0)->GetFirstPeerAnchor()->GetOwnerNode()->GetType() == "ReluGradV2";
      if (node_struct == true) {
        find = 1;
      }
    }
    if (AttrUtils::GetInt(node->GetOpDesc(), SCOPE_ID_ATTR, scope_id)) {
      cerr << "scope id : " << scope_id << endl;
    }
    id++;
  }
  EXPECT_EQ(find, 1);
}

TEST_F(UB_FUSION_ST_DCONV_ELEMWISE  , dx_elem_fusion_success2) {
  ComputeGraphPtr graph_out = std::make_shared<ComputeGraph>("test");
  BuildGraph4(graph_out, 1);
  graph_out->TopologicalSorting();
  graph_out->Dump();
  // BufferFusion(graph, graph_out);
  std::shared_ptr<GraphComm> graph_comm_ptr = std::make_shared<GraphComm>("engineName");
  graph_comm_ptr->Initialize();
  std::shared_ptr<ScopeAllocator> scope_allocator_ptr = std::make_shared<ScopeAllocator>();
  std::shared_ptr<FusionPassManager> fusion_pass_mgr_ptr = std::make_shared<FusionPassManager>();
  std::shared_ptr<FusionPriorityManager> fusion_priority_mgr_ptr =
          std::make_shared<FusionPriorityManager>("engineName", fusion_pass_mgr_ptr,nullptr);
  std::shared_ptr<BufferFusion> sub_graph_optimizer_ptr =
          std::make_shared<BufferFusion>(graph_comm_ptr, scope_allocator_ptr, fusion_pass_mgr_ptr, fusion_priority_mgr_ptr);
  uint32_t id = 0;
  cerr << endl;
  cerr << "UB_FUSION_UT_DX_DRELU UB fusion before" << endl;
  for (auto &node : graph_out->GetDirectNode()) {
    cerr << "id:" << id << endl;
    uint32_t scope_id = 0;
    cerr << "name: " << node->GetName() << ", type:" << node->GetOpDesc()->GetType() << endl;
    if (AttrUtils::GetInt(node->GetOpDesc(), SCOPE_ID_ATTR, scope_id)) {
      cerr << "scope id : " << scope_id << endl;
    }
    id++;
  }
  sub_graph_optimizer_ptr->engine_name_ = fe::AI_CORE_NAME;
  // find sub-graphs that match UB fusion pattern
  sub_graph_optimizer_ptr->MatchFusionPatternFromGraph(*graph_out);
  // create fused Graph, and merge matched sub-graphs into fusion ops
  sub_graph_optimizer_ptr->BuildFusionGraph(*graph_out);
  id = 0;
  int find = 0;
  cerr << endl;
  cerr << "UB_FUSION_UT_DX_DRELU UB fusion result" << endl;
  for (auto &node : graph_out->GetDirectNode()) {
    cerr << "id:" << id << endl;
    uint32_t scope_id = 0;
    cerr << "name: " << node->GetName() << ", type:" << node->GetOpDesc()->GetType() << endl;
    if (node->GetOpDesc()->GetType() == "Convolution" &&
        node->GetName() == "convadd" && graph_out->GetAllNodesSize() == 10) {
      cerr << "graph node size:" << graph_out->GetAllNodesSize() << endl;
      cerr << "conv in edge size:" << node->GetInAllNodes().size() << endl;
      cerr << "conv out node:" << node->GetOutAnchor(
              0)->GetFirstPeerAnchor()->GetOwnerNode()->GetType() << endl;
      cerr << "conv in node:" << node->GetAllOutDataAnchors().size() << endl;
      bool node_struct = false;
      node_struct = node->GetAllOutDataAnchors().size() == 2 &&
                   node->GetInAllNodes().size() == 3 &&
                   node->GetOutAnchor(
                           0)->GetFirstPeerAnchor()->GetOwnerNode()->GetType() ==
                   "ReluGradV2";
      if (node_struct == true) {
        find = 1;
      }
    }
    if (AttrUtils::GetInt(node->GetOpDesc(), SCOPE_ID_ATTR, scope_id)) {
      cerr << "scope id : " << scope_id << endl;
    }
    id++;
  }
  EXPECT_EQ(find, 1);
}

TEST_F(UB_FUSION_ST_DCONV_ELEMWISE, dx_elem_two_fusion_success1) {
  ComputeGraphPtr graph_out = std::make_shared<ComputeGraph>("test");
  BuildGraph5(graph_out, 1);
  graph_out->TopologicalSorting();
  graph_out->Dump();
  // BufferFusion(graph, graph_out);
  std::shared_ptr<GraphComm> graph_comm_ptr = std::make_shared<GraphComm>("engineName");
  graph_comm_ptr->Initialize();
  std::shared_ptr<ScopeAllocator> scope_allocator_ptr = std::make_shared<ScopeAllocator>();
  std::shared_ptr<FusionPassManager> fusion_pass_mgr_ptr = std::make_shared<FusionPassManager>();
  std::shared_ptr<FusionPriorityManager> fusion_priority_mgr_ptr =
          std::make_shared<FusionPriorityManager>("engineName", fusion_pass_mgr_ptr,nullptr);
  std::shared_ptr<BufferFusion> sub_graph_optimizer_ptr =
          std::make_shared<BufferFusion>(graph_comm_ptr, scope_allocator_ptr, fusion_pass_mgr_ptr, fusion_priority_mgr_ptr);
  uint32_t id = 0;
  cerr << endl;
  cerr << "UB_FUSION_UT_DX_DRELU UB fusion before" << endl;
  for (auto &node : graph_out->GetDirectNode()) {
    cerr << "id:" << id << endl;
    uint32_t scope_id = 0;
    cerr << "name: " << node->GetName() << ", type:" << node->GetOpDesc()->GetType() << endl;
    if (AttrUtils::GetInt(node->GetOpDesc(), SCOPE_ID_ATTR, scope_id)) {
      cerr << "scope id : " << scope_id << endl;
    }
    id++;
  }
  sub_graph_optimizer_ptr->engine_name_ = fe::AI_CORE_NAME;
  // find sub-graphs that match UB fusion pattern
  sub_graph_optimizer_ptr->MatchFusionPatternFromGraph(*graph_out);
  // create fused Graph, and merge matched sub-graphs into fusion ops
  sub_graph_optimizer_ptr->BuildFusionGraph(*graph_out);
  id = 0;
  int find = 0;
  cerr << endl;
  cerr << "UB_FUSION_UT_DX_DRELU UB fusion result" << endl;
  for (auto &node : graph_out->GetDirectNode()) {
    cerr << "id:" << id << endl;
    uint32_t scope_id = 0;
    cerr << "name: " << node->GetName() << ", type:" << node->GetOpDesc()->GetType() << endl;
    if (node->GetOpDesc()->GetType() == "Convolution" &&
        node->GetName() == "convaddadd1" && graph_out->GetAllNodesSize() == 7) {
      cerr << "graph node size:" << graph_out->GetAllNodesSize() << endl;
      cerr << "conv in edge size:" << node->GetInAllNodes().size() << endl;
      cerr << "conv out node:" << node->GetOutAnchor(0)->GetFirstPeerAnchor()->GetOwnerNode()->GetType() << endl;
      bool node_struct = false;
      node_struct = node->GetAllOutDataAnchors().size() == 1 &&
                   node->GetInAllNodes().size() == 4 &&
                   node->GetOutAnchor(0)->GetFirstPeerAnchor()->GetOwnerNode()->GetType() == "Square";
      if (node_struct == true) {
        find = 1;
      }
    }
    if (AttrUtils::GetInt(node->GetOpDesc(), SCOPE_ID_ATTR, scope_id)) {
      cerr << "scope id : " << scope_id << endl;
    }
    id++;
  }
  EXPECT_EQ(find, 1);
}
